Biology subjects

Brasnett, C.

Publications and source records attributed to Brasnett, C..

5 recordsLinked to original sources

bioRxiv2026

The Martini 3 Metabolome

Metabolites are ubiquitous in all living cells and are essential mediators of biochemical processes, serving either as substrates or as cofactors to enable the reactions. Capturing this diversity in computational workflows is important for allowing realistic simulations of the cytoplasm. Coarse-grained molecular dynamics enables the simulation of large scale systems up to the level of whole-cells, but is limited by the availability of refined parameters for all possible components in the system. In this work, we describe the parameterization of 186 common metabolites found in bacteria and eukaryotes within the framework of the Martini 3 force field. To showcase the behavior of Martini metabolites in a biological setting, we report simulations of protein-ligand binding and membrane permeation. The establishment of a Martini metabolome enables high-throughput simulations of metabolites interacting with other biomolecules, and opens the way for simulations of realistic cellular environments.

biophysics↗

bioRxiv2025

TS2CG as a membrane builder

Molecular dynamics (MD) simulations excel at capturing biological processes at the molecular scale but rely on a well-defined initial structure. As MD simulations now extend to whole-cell-level modeling, new tools are needed to efficiently build initial structures. Here, we introduce TS2CG version 2, designed to construct coarse-grained membrane structures with any desired shape and lateral organization. This version enables precise placement of lipids and proteins based on curvature preference, facilitating the creation of large, near-equilibrium membranes. Additional features include controlled pore generation and the placement of specific lipids at membrane edges for stabilization. Moreover, a Python interface allows users to extend functionality while maintaining the high performance of the C++ core. To demonstrate its capabilities, we showcase challenging simulations, including a Mobius strip membrane, a vesicle with lipid domain as continental plates (Martini globe), and entire mitochondrial membranes exhibiting lipid heterogeneity due to curvature, along with a comprehensive set of tutorials.

biophysics↗

bioRxiv2024

Oxygen partitioning into biomolecular condensates is governed by excluded volume

Biomolecular condensates form through the self-assembly of proteins and nucleic acids to create dynamic compartments in cells. By concentrating specific molecules, condensates establish distinct microenvironments that regulate biochemical reactions in time and space. Macromolecules and metabolites partition into condensates depending on their interactions with the macromolecular constituents, however, the partitioning of gases has not been explored. We investigated oxygen partitioning into condensates formed by intrinsically disordered repeat proteins with systematic sequence variations using microelectrodes and phosphorescence lifetime imaging microscopy (PLIM). Unlike other hydrophobic metabolites, oxygen is partially excluded from the condensate with partitioning constants more strongly modulated by changes in protein length than hydrophobicity. For repeat proteins, the dense phase protein concentration drops with chain length resulting in a looser condensate. We found that oxygen partitioning is anti-correlated with dense phase protein concentration. Several mechanisms could explain such an anti-correlation including excluded volume or salting out effects. Molecular dynamics simulations suggest that oxygen does not form strong and specific interactions with the scaffold and is dynamic on the nanosecond timescale. Biomolecular condensates thus result in variation of oxygen concentrations on nanometer length-scales, which may tune the oxygen concentration available for biochemical reactions within the cell.

biophysics↗

bioRxiv2024

GoMartini 3: From large conformational changes in proteins to environmental bias corrections

Coarse-grained modeling has become an important tool to supplement experimental measurements, allowing access to spatio-temporal scales beyond all-atom based approaches. The G[o]Martini model combines structure- and physics-based coarse-grained approaches, balancing computational efficiency and accurate representation of protein dynamics with the capabilities of studying proteins in different biological environments. This paper introduces an enhanced G[o]Martini model, which combines a virtual-site implementation of G[o] models with Martini 3. The implementation has been extensively tested by the community since the release of the new version of Martini. This work demonstrates the capabilities of the model in diverse case studies, ranging from protein-membrane binding to protein-ligand interactions and AFM force profile calculations. The model is also versatile, as it can address recent inaccuracies reported in the Martini protein model. Lastly, the paper discusses the advantages, limitations, and future perspectives of the Martini 3 protein model and its combination with G[o] models.

biophysics↗

bioRxiv2021

Lipid type doping of the sponge (L3) mesophase

The polymorphism of lipid aggregates has long attracted detailed study due to the myriad factors that determine the final mesophase observed. This study is driven by the need to understand mesophase behaviour for a number of applications, such as drug delivery and membrane protein crystallography. In the case of the latter, the role of the so-called sponge (L3) mesophase has been often noted, but not extensively studied by itself. The L3 mesophase can be formed in monoolein/water systems on the addition of butanediol to water, which partitions the headgroup region of the membrane, and decreases its elastic moduli. Like cubic mesophases, it is bicontinuous, but unlike them, has no long-range translational symmetry. In our present study, we show that the formation of the L3 phase can delicately depend on the addition of dopant lipids to the mesophase. While electrostatically neutral molecules similar in shape to monoolein (DOPE, cholesterol) have little effect on the general mesophase behaviour, others (DOPC, DDM) significantly reduce the region in which it can form. Additionally, we show that by combining cholesterol with the anionic lipid DOPG, it is possible to form the largest stable L3 mesophases observed to date, with correlation lengths over 220 [A].

biophysics↗